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Field of Research : Computational Fluid Dynamics
Australian State/Territory : WA
Scheme : Discovery Projects
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  • Researchers (9)
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  • Funded Activity

    Discovery Projects - Grant ID: DP140104510

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Hydrodynamics of Bubble Column Reactors. This project will study the hydrodynamics of bubble columns with the aim of optimising these reactors for offshore gas-to-liquid plants. Along with experiments using the state-of-art techniques such as the particle image velocimetry, radioactive particle tracking, electrical capacitance tomography and optical probes, computational fluid dynamics simulations will be conducted to gain a deeper insight into bubble-induced turbulence and regime transitions in .... Hydrodynamics of Bubble Column Reactors. This project will study the hydrodynamics of bubble columns with the aim of optimising these reactors for offshore gas-to-liquid plants. Along with experiments using the state-of-art techniques such as the particle image velocimetry, radioactive particle tracking, electrical capacitance tomography and optical probes, computational fluid dynamics simulations will be conducted to gain a deeper insight into bubble-induced turbulence and regime transitions in these reactors. This information will then be used to devise scale-up strategies of these complex and industrially important equipment.
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    Funded Activity

    Discovery Projects - Grant ID: DP130103271

    Funder
    Australian Research Council
    Funding Amount
    $260,000.00
    Summary
    The phenomenology of unsteady impinging jets: fluid dynamics and heat transfer. This project comprises a definitive study of a fluid jet impacting a target surface and the effect of added fluctuations on its momentum and heat-transfer characteristics. This will deliver new scientific knowledge and underpin the development of an energy-efficient thermal-control technology for widespread use in many areas of engineering.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210102745

    Funder
    Australian Research Council
    Funding Amount
    $772,031.00
    Summary
    Quantifying vertical and lateral ocean transport due to fronts and eddies. This project aims to quantify the intensity and location of ocean currents at unprecedented fine spatial scales by using data from a new generation of high-resolution satellites. These fine scales dominate the lateral and vertical transport of ocean-borne material, including heat, larvae and pollutants like oil and plastics, yet are poorly understood. New algorithms for processing satellite data will be developed and test .... Quantifying vertical and lateral ocean transport due to fronts and eddies. This project aims to quantify the intensity and location of ocean currents at unprecedented fine spatial scales by using data from a new generation of high-resolution satellites. These fine scales dominate the lateral and vertical transport of ocean-borne material, including heat, larvae and pollutants like oil and plastics, yet are poorly understood. New algorithms for processing satellite data will be developed and tested using in situ data in the significant North West Shelf region. Expected outcomes will be novel methods to identify ocean currents and a paradigm shift in quantification of fine-scale ocean dynamics. This will benefit operational oceanography in the areas of maritime safety, defence, fisheries and the offshore industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP140101322

    Funder
    Australian Research Council
    Funding Amount
    $466,600.00
    Summary
    The role of internal wave-driven near-bed turbulent dynamics in coastal ocean sediment mobilisation. This project will determine the process of internal wave-driven sediment resuspension and transport in the coastal ocean. This will be achieved by using a combination of field observations and numerical modelling, at two diverse but representative Australian coastal regions where nonlinear internal waves dominate the dynamics. The study has significant application to the offshore oil and gas indu .... The role of internal wave-driven near-bed turbulent dynamics in coastal ocean sediment mobilisation. This project will determine the process of internal wave-driven sediment resuspension and transport in the coastal ocean. This will be achieved by using a combination of field observations and numerical modelling, at two diverse but representative Australian coastal regions where nonlinear internal waves dominate the dynamics. The study has significant application to the offshore oil and gas industry engineering design and operations as well as to environmental management of the coastal ocean ecosystems. This project will achieve a process understanding and create predictive tools describing sediment resuspension and transport for use by industry and marine managers.
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    Funded Activity

    Discovery Projects - Grant ID: DP150102638

    Funder
    Australian Research Council
    Funding Amount
    $286,100.00
    Summary
    Predictive capability for particle capture in aquatic ecosystems. This project investigates the fundamental fluid mechanics of particle capture, whereby suspended particles contact and adhere to a solid structure. This process is examined in productive and biodiverse ecosystems (such as coral reefs and seagrass meadows) whose health, productivity and propagation are directly controlled by particle capture. Existing formulations for particle capture are valid only under highly idealised condition .... Predictive capability for particle capture in aquatic ecosystems. This project investigates the fundamental fluid mechanics of particle capture, whereby suspended particles contact and adhere to a solid structure. This process is examined in productive and biodiverse ecosystems (such as coral reefs and seagrass meadows) whose health, productivity and propagation are directly controlled by particle capture. Existing formulations for particle capture are valid only under highly idealised conditions that are grossly unrepresentative of the complexity of ecosystem flows. The goal of this project is to use a coupled computational-experimental campaign to develop predictive capability for particle capture in ecosystems, where the flow can be turbulent and/or wave-dominated and the biological structures complex.
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